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Multiresolution Signal Decomposition: A New Tool for Fault Detection in Power Transformers During Impulse Tests

Pandey, Santosh Kumar and Satish, L (1998) Multiresolution Signal Decomposition: A New Tool for Fault Detection in Power Transformers During Impulse Tests. In: IEEE Transactions on Power Delivery, 13 (4). pp. 1194-1200.


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Detection of major faults in power transformers during impulse tests has never been an issue, but is rather difficult when only a minor fault, say a sparkover between adjacent coils or turns, lasting for a few microseconds occurs. However, detection of such type of fault is very important to avoid any catastrophic situation. In this paper, we have proposed a new and powerful method capable of detecting minor incipient faults. The approach is based on wavelet transform analysis, particularly the dyadic-orthonormal wavelet transform. The key idea underlying the approach is to decompose a given faulty neutral current response into other signals which represent a smoothed and detailed version of the original. The decomposition is performed by multiresolution signal decomposition technique. Preliminary simulation work demonstrated here, shows that the proposed method is robust and far superior to other existing methods to resolve such type of faults.

Item Type: Journal Article
Publication: IEEE Transactions on Power Delivery
Publisher: IEEE
Additional Information: ©1998 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Keywords: power transformer;impulse-testing;time-frequency representation;wavelet transform;multiresolution signal decomposition
Department/Centre: Division of Electrical Sciences > High Voltage Engineering (merged with EE)
Date Deposited: 25 Aug 2008
Last Modified: 19 Sep 2010 04:15
URI: http://eprints.iisc.ac.in/id/eprint/1487

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